Table 2.
Variables | 2008 only–––discontinuation % | Both years–––continuation % | Predicted discontinuation of harm bivariate OR |
---|---|---|---|
(n) | (36) | (47) | (83) |
Gender of respondents | |||
Male | 30.6 (17.5–47.7) | 27.7 (16.6–42.4) | Ref |
Female | 69.4 (52.3–82.5) | 72.3 (57.6–83.4) | 0.9 (0.3–2.5) |
Age 2008a | |||
18–35 | 13.9 (5.7–29.9) | 8.5 (3.1–21.0) | Ref |
36 and over | 86.1 (70.1–94.3) | 91.5 (79.0–96.9) | 1.0 (0.4–2.5) |
Neighbourhood affluence | |||
(4 missing)b | |||
Disadvantaged | 62.9 (45.5–77.4) | 48.9 (34.8–63.3) | Ref |
Less disadvantaged | 37.1 (22.6–54.5) | 51.1 (36.7–65.2) | 0.6 (0.2–1.3) |
Respondent drinks 5+ at least monthly in the past year–––2008 | |||
Yes | 63.9 (46.8–78.1) | 70.2 (55.4–81.7) | Ref |
No | 36.1 (21.9–53.2) | 29.8 (18.3–44.6) | 1.3 (0.5–3.4) |
Respondent drinks 5+ at least monthly in the past year–––2011 | |||
Yes | 75.0 (58.0–86.7) | 66.0 (51.0–78.3) | Ref |
No | 25 (13.3–42.0) | 34.0 (21.7–48.9) | 0.7 (0.3–1.7) |
Test of proportions found no significant differences between groups within columns. Bivariate logistic regression results suggest there is no significant difference by gender, age, neighbourhood affluence and respondent drinking pattern (5+ standard drinks at least monthly) when predicting experience of discontinuation of harm from IPs.
Age collapsed to two categories in this table because of small numbers.
In this study, the Socio‐Economic Indexes for Areas of Disadvantage is used; it measures how disadvantaged an area is compared with other areas in Australia (ABS, 2006) and allocates a score for each postcode. Disadvantage is measured on a scale of 1 to 5, where 1 is the most disadvantaged, and 5 is the least disadvantaged. Here, the scale was recoded into two groups of roughly equal size, ‘Disadvantaged’ (score of 1–3) and ‘less disadvantaged’ (score of 4–5, used as the reference category).
IP, intimate partner; OR, odds ratio.